expConv: Empirical Convolution Between an Input Function and a Single...
In neuroconductor/oro.pet: Rigorous - Positron Emission Tomography

Description Usage Arguments Details Value Author(s)

Computationally efficient method to convolve a vector of observations and a single exponential function with two parameters.

1	expConv(input, k1, k2)

`input`	is the so-called input function.
`k1`	is the scaling parameter in the single exponential function.
`k2`	is the decay parameters in the single exponential function.

Assuming the input function has been sampled (or interpolated) to a high temporal resolutions, say one Hertz, a simple for loop is used to perform the convolution.

The vector containing the result from the convolution operation.

Brandon Whitcher bwhitcher@gmail.com

neuroconductor/oro.pet documentation built on May 19, 2021, 6:30 a.m.